Connectionists: Post-doctoral Position in Computer Vision at EPFL

[Pascal Fua]

EPFL's Computer Vision Laboratory (http://cvlab.epfl.ch/) has an opening 
for a post-doctoral fellow. The position is initially offered for 1 year 
and can be extended for up to 4 years total.

Description:

CVLab is collaborating with PSA (https://www.groupe-psa.com/fr/) in 
Paris on the theme of self-driving vehicles. The goal of this project is 
to design and develop efficient algorithms that produce in real-time a 
3D model of the scene around a car from cameras mounted on the vehicle. 
In addition to performing Simultaneous Localization and Mapping (SLAM), 
our algorithms will estimate a semantic class label for each 
reconstructed 3D point. Altogether, this will allow us to provide an 
accurate 3D map of the car's surroundings, potentially depicted from 
various viewpoints, and to reason about obstacles and free space in 3D 
rather than in the images.

Position:

The Computer Vision Laboratory offers a creative international 
environment, a possibility to conduct competitive research on a global 
scale and involvement in teaching.  There will be ample opportunities to 
cooperate with some of the best groups in Europe and elsewhere.

EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers 
away from the city of Geneva.  Salaries for post-doctoral fellows start 
from CHF 81,400 per year, the precise amount to be determined by EPFL's 
department of human resources.

Education:

Applicants are expected to have finished, or be about to finish their 
Ph.D.  degrees, to have a strong background in Computer Vision and 
Statistical Machine Learning, and to have a track record of publications 
in top conferences and journals.  Strong programming skills (C or C++) 
are a plus.  French language skills are not required, English is mandatory.

Application:

Applications must be sent by email to Ms. Staudenmann 
(ariane.staudenmann at epfl.ch).  They must contain a statement of 
interest, a CV, a list of publications, and the names of three references.